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Why Smart Enterprises Are Turning to Private AI Solutions

Apr 29, 2026•By Michael Schmid•2 min read

AI adoption is skyrocketing across industries, but for many organizations, public AI tools raise real concerns about data privacy, compliance, and control. As workloads increase and teams face mounting pressure to do more with less, companies are seeking ways to safely and effectively leverage AI without compromising sensitive information.

In this webinar, we'll unpack why enterprises are embracing Private AI, and how your team can start using it to work smarter, faster, and securely.

Why Smart Organizations Are Using AI

  • How teams are adopting AI to boost productivity and efficiency
  • The competitive pressure to stay ahead of digital transformation
  • Why learning to use AI is becoming a core professional skill

The Case for Private AI

  • Data privacy and compliance challenges with public AI platforms
  • The risks of exposing sensitive or proprietary information
  • How Private AI protects your data and ensures sovereignty

Inside the Private AI Assistant

  • What makes it truly private; from data control to secure architecture
  • How it integrates with your existing workflows
  • Live demo: see real prompts, outputs, and use cases in action
  • Please Note: Since the recording of this webinar, the Private AI Assistant has been sunset. While the insights on private AI discussed in this session remain highly relevant, the specific tool shown is not currently available or supported.

Real-World Examples

  • How enterprises like DB Schenker are exploring Private AI
  • Practical ways organizations are improving productivity today

Q&A: Access the Q&A with technical questions and answers from the team behind the solution.

Access the webinar recording:

Michael Schmid Portrait

Author

Michael Schmid, Founder & General Manager

Michael Schmid (widely known in the Drupal developer community as "Schnitzel") is the Founder and General Manager of amazee.io and amazee.ai. A visionary leader in open source systems and cloud-native application hosting, Michael has spent decades architecting high-availability infrastructure and scaling enterprise web operations globally. He established his technical foundation through an IT apprenticeship at Siemens Switzerland and TBZ Technische Berufsschule Zürich, later sharing his insights as a Visiting Lecturer at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW). Today, Michael directs the strategic vision for amazee.ai’s enterprise trust layer, pioneering private AI gateway solutions that emphasize zero-token retention architectures, rigorous prompt engineering security, multi-model routing efficiency, and advanced agentic workflows via amazeeClaw. He is an internationally recognized speaker, open source champion, and cloud infrastructure innovator, and Private AI advocate.

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